员工参与变革管理的必要性已经过充分研究和记录。数字化为工厂的运营方式带来了根本性的变化。没有员工的配合，实施就成为一项不可逾越的任务。通过解决员工的担忧和疑虑来提高员工信心，并将他们转变为数字化的积极合作伙伴。

美国海军决定在上世纪末实施 ERP 系统。SAP、IBM 和 Lloyd 等领域的知名企业应该是系统集成商。与政府项目一样，决策是自上而下进行的。在此过程中没有咨询必须使用这些系统的员工——这意味着高层官员不知道在实施过程中必须考虑的细微差别。实施开始几十年后，该项目尚未完成。海军也在此过程中损失了 10 亿美元。超过 90,000 名员工也被他们无法使用的系统所困。为避免这种情况，您必须采取自下而上的方法，从较低级别的员工开始。

执行

只有在必要的数字能力到位并确认员工参与后才能实施。交错实施是前进方式。从一个部门或部门的数字化开始。然后，评估与预期相比的表现。修复任何错误（如果发现）。然后从前面步骤中的错误中吸取教训，继续解决下一个难题。

Gruppo Castelli是意大利的一家大型奶酪制造商。他们希望将其职能数字化以确保业务连续性——从工厂的 PLC 操作到客户反馈。起初，他们改变了工业运营以适应数字化。一旦成功，他们就会转向供应链。在涵盖了他们业务的其他功能之后，销售和营销与其他数字基础设施集成在一起。这种交错的方法花费了相对较长的时间框架，但避免了严重的业务中断，实施失败仅限于公司的一小部分职能。

数据管理

数据对于工业 4.0 范式至关重要。存储、管理和处理数据的策略有很多——它可以存储在数据湖、数据仓库、云中或本地。数据具有不同的优先级和不同的敏感度。根据组织的安全、访问和隐私需求对数据进行分类。



 

2021 年的殖民管道黑客事件清楚地表明了工业系统对网络安全的需求。黑客将管道的操作作为赎金的人质。由于缺乏对网络安全的关注，该国的关键基础设施受到损害。如果网络安全被视为事后考虑，您也可能面临此类挑战。网络安全风险必须从战略制定阶段开始解决。您应该只接受高度重视网络安全的供应商。

借助数字武库推进

很明显，如果不建立强大的数字基础设施来支持制造业务，您将无法在未来十年生存。员工参与和跨职能协作对于工业 4.0 的数字化至关重要。朝着数字化迈出明智的小步，而不是大步向前。这是使用工业 4.0 技术实现工厂运营数字化的一种更可持续的方法。


以下是我司【主营产品】，有需要可以发来帮您对比下价格哦!

主营：世界品牌的PLC 、DCS 系统备件 模块

①Allen-Bradley(美国AB)系列产品》

②Schneider(施耐德电气)系列产品》

③General electric(通用电气)系列产品》

④Westinghouse(美国西屋)系列产品》

⑤SIEMENS(西门子系列产品)》

⑥销售ABB Robots. FANUC Robots、YASKAWA Robots、KUKA Robots、Mitsubishi Robots、OTC Robots、Panasonic Robots、MOTOMAN Robots。

⑦estinghouse(西屋)： OVATION系统、WDPF系统、MAX0系统备件。

⑧Invensys Foxboro(福克斯波罗)：I/A Series系统，FBM(现场输入/输出模块)顺序控制、梯形逻辑控制、事故追忆处理、数模转换、输入/输出信号处理、数据通信及处理等。Invensys Triconex: 冗余容错控制系统、基于三重模件冗余(TMR)结构的现代化的容错控制器。

⑨Siemens(西门子)：Siemens MOORE， Siemens Simatic C1，Siemens数控系统等。

⑩Bosch Rexroth(博世力士乐)：Indramat，I/O模块,PLC控制器,驱动模块等。

◆Motorola(摩托)：MVME 162、MVME 167、MVME1772、MVME177等系列。

PLC模块，可编程控制器，CPU模块，IO模块，DO模块，AI模块，DI模块，网通信模块，

以太网模块，运动控制模块，模拟量输入模块，模拟量输出模块，数字输入模块，数字输出

模块，冗余模块，电源模块，继电器输出模块，继电器输入模块，处理器模块。

The need for employee participation in change management is well-researched and documented. Digitization brings about a radical change in the way plants operate. Without the cooperation of employees, implementation becomes an insurmountable task. Raise employee confidence by addressing their concerns and doubts and transform them into active partners in digitization.

United States Navy decided to implement ERP systems towards the fag end of the last century. Top names in the space such as SAP, IBM, and Lloyd were supposed to be system integrators. As with government projects, the decision-making happened top-down. The employees that had to use the systems were not consulted in the process – this meant that top-level officials were unaware of the nuances that had to be considered during implementation. Decades after implementation started, the project is not yet complete. The navy also lost $ 1 billion in the process. More than 90,000 employees are also stuck with systems they cannot use. To avoid such a scenario, you have to take a bottom-up approach starting with the employees at the lower level.

Implementation

Implementation has to be done only after necessary digital capabilities are in place and employee participation is confirmed. Staggered implementation is the best way forward. Start with the digitization of one section or department. Then, assess how that performs compared to expectations. Fix any errors, if identified. Then move on to the next piece of the puzzle taking lessons from errors in the previous steps.

Gruppo Castelli is a large-scale cheese manufacturer in Italy. They wanted to digitize their functions to ensure business continuity – this ranged from PLC operations in their factories to customer feedback. At first, they transformed their industrial operations to suit digitization. Once that was successful, they moved on to the supply chain. After covering other functions of their business, sales and marketing were integrated with the rest of the digital infrastructure. This staggered approach took a relatively longer time frame, but avoided serious business disruption and implementation failure was limited to only a small function of the company.

Data management

Data is critical to the Industry 4.0 paradigm. There are many strategies for storing, managing, and processing data – it can be stored in data lakes, data warehouses, in the cloud, or on-premises. Data have different priorities and differing levels of sensitivity. Categorize data factoring in the security, access, and privacy needs of the organization.